Module 4 Quiz :Digital Marketing Analytics in Theory (Digital Marketing Specialization) Answers 2025
Question 1
Which of the following is a personally determined, subjective metric?
✅ Ease of use
❌ Effectiveness
❌ Efficiency
❌ Capability
Explanation:
Ease of use depends on an individual’s perception and experience, making it subjective. The others are typically assessed more objectively.
Question 2
Kaushik’s 10/90 rule states that 90% of a company’s analytics budget should be spent on what?
✅ Analysts
❌ Enterprise Platforms
❌ Point Solutions
❌ Analytic Tools
Explanation:
Avinash Kaushik’s rule emphasizes that people (analysts) create value from data—not tools alone.
Question 3
What is the first (most entry-level) stage of digital marketing maturity according to BCG?
❌ Connected
❌ Emerging
✅ Nascent
❌ Multi-Moment
Explanation:
The Nascent stage represents organizations just beginning their digital marketing journey.
Question 4
How might a company see benefits of digital marketing maturity?
❌ Revenue growth
❌ Reduction of costs
✅ Both A & B
❌ None of the above
Explanation:
Greater digital maturity can drive higher revenues and lower operational costs through efficiency.
Question 5
How does Intelligent Tracking Prevention (ITP) operate on browsers and mobile devices?
✅ It blocks and eliminates cookies
❌ It causes pop-ups requesting cookie permission
❌ It expands the definition of personal data
Explanation:
ITP primarily restricts and blocks tracking cookies to enhance user privacy.
Question 6
Which of the following can analysis gadgets help provide? (Select all that apply)
✅ Attribution Modeling
✅ Experimentation / testing
✅ Outcome analysis
❌ Competitive intelligence
Explanation:
Analysis gadgets focus on measurement, testing, and outcomes, not external competitive intelligence.
Question 7
Which analytic tool can handle the highest amount of data?
✅ Enterprise Platforms
❌ Point Solutions
❌ Data Density
❌ Analysis Gadgets
Explanation:
Enterprise platforms are built to manage large-scale, complex datasets across organizations.
Question 8
Which two variables are used to create the framework for evaluating analytics and data visualization tools?
❌ Effectiveness and data density
❌ Ease of use and efficiency
❌ Effectiveness & efficiency
✅ Ease of use and data density
Explanation:
The framework compares tools based on how easy they are to use and how much data they can handle.
Question 9
It is more valuable to adopt a framework for thinking about the analytics market than to know top-rated tools.
✅ True
❌ False
Explanation:
Frameworks help analysts choose the right tool for the job, even as tools evolve over time.
Question 10
Based on being easy to use and able to handle large amounts of data, which quadrant would Tableau fall into?
❌ Lower right
❌ Lower left
✅ Upper right
❌ Upper left
Explanation:
High ease of use + high data density places Tableau in the upper-right quadrant.
🧾 Summary Table
| Question | Correct Answer | Key Concept |
|---|---|---|
| Q1 | Ease of use | Subjective metrics |
| Q2 | Analysts | 10/90 rule |
| Q3 | Nascent | Digital maturity |
| Q4 | Both A & B | Business impact |
| Q5 | Blocks cookies | Privacy / ITP |
| Q6 | Attribution, testing, outcomes | Analysis gadgets |
| Q7 | Enterprise platforms | Data scale |
| Q8 | Ease of use & data density | Tool framework |
| Q9 | True | Strategic thinking |
| Q10 | Upper right | Visualization tools |